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Paper Citation Record · LEDGER

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.14236.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.14236 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:06:55.456224Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T06:44:02.504647Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 14cc954f-a865-4248-b959-30ec8944be47 · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:44:02.507661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T06:40:00.328012Z digest=sha256:20646faf88236691eae11e2082be5420e32bf44774e7c127102f04de3859e132

Observation 89658309-377a-4af8-8d8b-4e64765d41a3 · inbound

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation cites this paper.

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T20:06:55.456224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:06:55.456224Z digest=sha256:830c43dc9128d61c799d14790eff3188e35c73385a72ce4c579490544335fc62

Observation 7aad0f5e-ab3d-4c67-99cc-6c4648a8532c · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:02:17.833390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:843cfc465935c53d3fb7155f5de82ca82f5ab63e49494295d7d14deed0088b6a